OverviewThe ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities- Understand the day-to-day issues that our business faces, which can be better understood with data
- Compile and analyze data related to business issues
- Develop clear visualizations to convey complicated data in a straightforward fashion
- We are looking for a curious and collaborative Analyst to solve business problems using data
- As a Data Analyst, you will use analytical, statistical and programming skills to collect, analyze and interpret large datasets
- You are expected to have strong data analytical skills with statistical background and hands-on experience in not only building machine learning models but also deploying them to production
Required qualifications- Experience in solving business problems using various analytical and statistical techniques
- You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and communicate the findings using visualizations
- You have experience writing SQL queries to create datasets for analytics and modeling (e.g. SQL, BigQuery, Hive)
- Apply statistical analysis and visualization techniques to various data, Generate hypotheses about the underlying mechanics of the business process
- Test hypotheses using various quantitative methods
- Display drive and curiosity to understand the business process to its core
- Network with domain experts to better understand the business mechanics that generated the data
- Apply various ML and advanced analytics techniques to perform classification or prediction tasks
- Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
- Testing of ML models, such as cross-validation, A/B testing, bias, and fairness
- You have proven experience with at least one programming language (e.g. Python, Java, R) and are comfortable developing code in a team environment (e.g. git, notebooks)
- Experience in statistical modeling and techniques like GLM, Random Forest, GBM, Neural Networks
- You are self-motivated and curious with demonstrated creative and critical thinking capabilities
- You have excellent verbal and written communication skills and experience in influencing decisions with information
- Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering
Preferred qualifications- Bachelor's degree or equivalent applied experience.
- Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering
- 2+ years experience in solving business problems using analytical and statistical techniques
- Experience in Fintech and/or Insurance industry will be a preferred
